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German Castignani

Bio: German Castignani is an academic researcher from University of Luxembourg. The author has contributed to research in topics: IEEE 802.11 & Handover. The author has an hindex of 14, co-authored 43 publications receiving 737 citations. Previous affiliations of German Castignani include Institut Mines-Télécom & European University of Brittany.


Papers
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Journal ArticleDOI
TL;DR: This paper analyzes how smartphone sensors can be used to identify driving maneuvers and proposes SenseFleet, a driver profile platform that is able to detect risky driving events independently from the mobile device and vehicle.
Abstract: Today's smartphones and mobile devices typically embed advanced motion sensors. Due to their increasing market penetration, there is a potential for the development of distributed sensing platforms. In particular, over the last few years there has been an increasing interest in monitoring vehicles and driving data, aiming to identify risky driving maneuvers and to improve driver efficiency. Such a driver profiling system can be useful in fleet management, insurance premium adjustment, fuel consumption optimization or CO2 emission reduction. In this paper, we analyze how smartphone sensors can be used to identify driving maneuvers and propose SenseFleet, a driver profile platform that is able to detect risky driving events independently from the mobile device and vehicle. A fuzzy system is used to compute a score for the different drivers using real-time context information like route topology or weather conditions. To validate our platform, we present an evaluation study considering multiple drivers along a predefined path. The results show that our platform is able to accurately detect risky driving events and provide a representative score for each individual driver.

263 citations

Proceedings ArticleDOI
02 Apr 2014
TL;DR: By the means of experiments it is shown that smartphones with BLE radios can be used to send information at low latency from one car to another even while driving, and a communication range of up to 100m can be achieved depending on the scenario and environment.
Abstract: Vehicles are getting increasingly connected. Several technologies have emerged over the last decade that allow cars to communicate with each other and with the Internet. In this paper we propose to use the new Bluetooth Low Energy (BLE) standard as an alternative technology to exchange data between vehicles. By the means of experiments we show that smartphones with BLE radios can be used to send information at low latency from one car to another even while driving. A communication range of up to 100m can be achieved depending on the scenario and environment. Those promising first results are then used as basis for discussion to identify the potential of BLE for different types of vehicular applications.

76 citations

Proceedings ArticleDOI
01 Oct 2013
TL;DR: This paper proposes a mobile tool that makes use of the most common sensors embedded in current smartphones and implements a Fuzzy Inference System that scores the overall driving behavior by combining different fuzzy sensing data.
Abstract: The proliferation of smartphones and mobile devices embedding different types of sensors sets up a prodigious and distributed sensing platform. In particular, in the last years there has been an increasing necessity to monitor drivers to identify bad driving habits in order to optimize fuel consumption, to reduce CO2 emissions or, indeed, to design new reliable and fair pricing schemes for the insurance market. In this paper, we analyze the driver sensing capacity of smartphones. We propose a mobile tool that makes use of the most common sensors embedded in current smartphones and implement a Fuzzy Inference System that scores the overall driving behavior by combining different fuzzy sensing data.

51 citations

Journal ArticleDOI
TL;DR: An adaptive driving maneuver detection mechanism is proposed that iteratively builds a statistical model of the driver, vehicle, and smartphone combination using a multivariate normal model and a training mechanism that adapts the profiling model to the vehicle, driver, and road topology.
Abstract: The proliferation of connected mobile devices together with advances in their sensing capacity has enabled a new distributed telematics platform. In particular, smartphones can be used as driving sensors to identify individual driver behavior and risky maneuvers. However, in order to estimate driver behavior with smartphones, the system must deal with different vehicle characteristics. This is the main limitation of existing sensing platforms, which are principally based on fixed thresholds for different sensing parameters. In this paper, we propose an adaptive driving maneuver detection mechanism that iteratively builds a statistical model of the driver, vehicle, and smartphone combination using a multivariate normal model. By means of experimentation over a test track and public roads, we first explore the capacity of different sensor input combinations to detect risky driving maneuvers, and we propose a training mechanism that adapts the profiling model to the vehicle, driver, and road topology. A large-scale evaluation study is conducted, showing that the model for maneuver detection and scoring is able to adapt to different drivers, vehicles, and road conditions.

50 citations

Journal ArticleDOI
01 Feb 2016
TL;DR: It is found that the maximum communication range between two devices can go beyond 100?m and that a robust connection, capable of handling sudden signal losses or interferences, can be achieved up to a distance of 50?m even for varying traffic and driving conditions.
Abstract: Bluetooth Low Energy (BLE) is quickly and steadily gaining importance for a wide range of applications. In this paper we investigate the potential of BLE in a vehicular context. By means of experiments, we first evaluate the characteristics of the wireless channel, then we define a set of driving scenarios to analyse how BLE is affected by varying speed, distance and traffic conditions. We found that the maximum communication range between two devices can go beyond 100?m and that a robust connection, capable of handling sudden signal losses or interferences, can be achieved up to a distance of 50?m even for varying traffic and driving conditions. We then present a proof-of-concept mobile application for off-the-shelf smartphones that can be used to transmit data over multiple hops. Next, we analyse how BLE handles other interferences on the same frequency band by building and validating an interference testbed based on the IEEE 802.11 technology. Finally we discuss the advantages and limitations of BLE for Inter-Vehicular Communications (IVC) and propose potential applications.

47 citations


Cited by
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Journal ArticleDOI
TL;DR: An overview of the Internet of Things with emphasis on enabling technologies, protocols, and application issues, and some of the key IoT challenges presented in the recent literature are provided and a summary of related research work is provided.
Abstract: This paper provides an overview of the Internet of Things (IoT) with emphasis on enabling technologies, protocols, and application issues. The IoT is enabled by the latest developments in RFID, smart sensors, communication technologies, and Internet protocols. The basic premise is to have smart sensors collaborate directly without human involvement to deliver a new class of applications. The current revolution in Internet, mobile, and machine-to-machine (M2M) technologies can be seen as the first phase of the IoT. In the coming years, the IoT is expected to bridge diverse technologies to enable new applications by connecting physical objects together in support of intelligent decision making. This paper starts by providing a horizontal overview of the IoT. Then, we give an overview of some technical details that pertain to the IoT enabling technologies, protocols, and applications. Compared to other survey papers in the field, our objective is to provide a more thorough summary of the most relevant protocols and application issues to enable researchers and application developers to get up to speed quickly on how the different protocols fit together to deliver desired functionalities without having to go through RFCs and the standards specifications. We also provide an overview of some of the key IoT challenges presented in the recent literature and provide a summary of related research work. Moreover, we explore the relation between the IoT and other emerging technologies including big data analytics and cloud and fog computing. We also present the need for better horizontal integration among IoT services. Finally, we present detailed service use-cases to illustrate how the different protocols presented in the paper fit together to deliver desired IoT services.

6,131 citations

Journal ArticleDOI
TL;DR: This exhaustive survey provides insights into the state-of-the-art of IoT enabling and emerging technologies and brings order in the existing literature by classifying contributions according to different research topics.

510 citations

Journal ArticleDOI
03 Aug 2017-Sensors
TL;DR: This review outlines the recent applications of WSNs in agriculture research as well as classifies and compares various wireless communication protocols, the taxonomy of energy-efficient and energy harvesting techniques for W SNs that can be used in agricultural monitoring systems, and comparison between early research works on agriculture-based WSNS.
Abstract: Wireless sensor networks (WSNs) can be used in agriculture to provide farmers with a large amount of information. Precision agriculture (PA) is a management strategy that employs information technology to improve quality and production. Utilizing wireless sensor technologies and management tools can lead to a highly effective, green agriculture. Based on PA management, the same routine to a crop regardless of site environments can be avoided. From several perspectives, field management can improve PA, including the provision of adequate nutrients for crops and the wastage of pesticides for the effective control of weeds, pests, and diseases. This review outlines the recent applications of WSNs in agriculture research as well as classifies and compares various wireless communication protocols, the taxonomy of energy-efficient and energy harvesting techniques for WSNs that can be used in agricultural monitoring systems, and comparison between early research works on agriculture-based WSNs. The challenges and limitations of WSNs in the agricultural domain are explored, and several power reduction and agricultural management techniques for long-term monitoring are highlighted. These approaches may also increase the number of opportunities for processing Internet of Things (IoT) data.

405 citations

Book ChapterDOI
07 Feb 2008
TL;DR: In this article, product definition for broadband wireless systems technology drivers Evolving Wireless Broadband Market Segments Open Systems and Intelligence at the Edge Radio Network System Engineering References are discussed. But the focus of this paper is not on wireless networks.
Abstract: This chapter contains sections titled: Product Definition for Broadband Wireless Systems Technology Drivers Evolving Wireless Broadband Market Segments Open Systems and Intelligence at the Edge Radio Network System Engineering References

293 citations

Patent
10 Sep 2012
TL;DR: In this paper, a wireless power receiver for wirelessly receiving power is described, and a drive power for driving the receiver is received from a WPCN, where a communication network is established with the wireless power transmitter.
Abstract: Methods and apparatus are provided for controlling a wireless power receiver for wirelessly receiving power. A drive power for driving the wireless power receiver is received from a wireless power transmitter. A communication network is established with the wireless power transmitter. A wireless power network that is controlled by the wireless power transmitter is joined. A charge power is received from the wireless power transmitter.

273 citations